AWS DevOps & Developer Productivity Blog
Introducing the new Amazon Q Developer experience in AWS Lambda
AWS Lambda recently announced a new code editor based on Code-OSS. Like the previous version, the new editor includes Amazon Q Developer. Amazon Q Developer is a generative AI-powered assistant for software development that can help you build and debug Lambda functions more quickly. In this post, I provide an overview of Amazon Q Developer’s […]
Enhance release control with AWS CodePipeline stage-level conditions
It’s an established practice for development teams to build deployment pipelines, with services such as AWS CodePipeline, to increase the quality of application and infrastructure releases through reliable, repeatable and consistent automation. Automating the deployment process helps build quality into our products by introducing continuous integration to build and test code, however enterprises may sometimes […]
Instant Well-Architected CDK Resources with Solutions Constructs Factories
For several years, AWS Solutions Constructs have helped thousands of AWS Cloud Development Kit (CDK) users accelerate their creation of well-architected workloads by providing small, composable patterns linking two or more AWS services, such as an Amazon S3 bucket triggering an AWS Lambda function. Over this time, customers with use cases that don’t match an […]
Five ways to optimize code with Amazon Q Developer
Practical improvement and optimization of software quality requires expert-level knowledge across various subjects. As such, in this blog we shall look at how Amazon Q Developer can help improve your development team productivity and application stability by enabling automation around code optimization by improving your code’s quality, performance, application infrastructure specifications. The blog will also look […]
Code security scanning with Amazon Q Developer
A primary objective of software developers is to develop products that uphold the highest standards of data privacy and security, fostering trust and confidence among their users and customers. Developers seek to secure their software by identifying and mitigating security vulnerabilities in their codebase, thereby enhancing its resilience against cyber threats. Amazon Q Developer, a […]
Accelerate Serverless Streamlit App Deployment with Terraform
Graphic created by Kevon Mayers. Introduction As customers increasingly seek to harness the power of generative AI (GenAI) and machine learning to deliver cutting-edge applications, the need for a flexible, intuitive, and scalable development platform has never been greater. In this landscape, Streamlit has emerged as a standout tool, making it easy for developers to […]
How to identify inactive users of Amazon Q Developer
Generative AI is leading to many new features and capabilities. As a result, your employees may not know about all the new tools you are deploying. I was recently working with a customer that had deployed Amazon Q Developer for all their software developers. However, many developers didn’t know they had access to the productivity […]
Use the latest AWS innovations with the new AWS Cloud Control provider for Pulumi
We are pleased to announce the general availability of the AWS Cloud Control provider for Pulumi, an modern infrastructure management platform, which allows our customers to adopt AWS innovations faster than ever before. AWS has consistently expanded its range of services to support any cloud workload, supporting over 200 fully featured services and introducing more […]
Accelerate application upgrades with Amazon Q Developer agent for code transformation
In this blog, we will explore how Amazon Q Developer Agent for code transformation accelerates Java application upgrades. We will examine the benefits of this Generative AI-powered agent and outline strategies to achieve maximal acceleration, drawing from real-world success stories and best practices. Benefits of using Amazon Q Developer to upgrade your applications Amazon Q […]
Exploring Telemetry Events in Amazon Q Developer
As organizations increasingly adopt Amazon Q Developer, understanding how developers use it is essential. Diving into specific telemetry events and user-level data clarifies how users interact with Amazon Q Developer, offering insights into feature usage and developer behaviors. This granular view, accessible through logs, is vital for identifying trends, optimizing performance, and enhancing the overall […]